Data Analyst | SQL • Python • Excel • Business Intelligence

Skilled in data entry, data cleaning, spreadsheet management, SQL, and Power BI. Experienced through personal and portfolio projects in organizing, validating, and analyzing datasets while maintaining high accuracy and attention to detail. Proficient in Microsoft Excel and Google Sheets, with strong analytical and problem-solving skills.

New to freelancing but with hands-on experience through portfolio projects using SQL, Excel, and Power BI. Skilled in cleaning and analyzing data, writing SQL queries, creating interactive dashboards, and presenting insights to support decision-making. Strong attention to detail, problem-solving skills, and eagerness to help businesses make data-driven decisions.

New to freelancing with hands-on experience managing and organizing data through portfolio projects. Skilled in Microsoft Excel, Google Sheets, SQL, and data validation. Fast learner with strong attention to detail, accuracy, and time management.

Hands-on experience using SQL for data extraction, cleaning, transformation, and analysis through portfolio projects. Skilled in writing SELECT statements, JOINs, GROUP BY, subqueries, views, and aggregate functions to retrieve meaningful insights from relational databases.

Hands-on experience using MySQL to design, query, and manage relational databases through portfolio projects. Skilled in creating tables, writing SQL queries, using JOINs, aggregate functions, views, and data validation techniques to retrieve and analyze data. Familiar with database normalization, data cleaning, and optimizing queries for reporting and dashboard development.

Familiar with Boolean search techniques using operators such as AND, OR, and NOT to refine searches and filter data efficiently. Applied Boolean logic in SQL queries and data retrieval to locate, organize, and analyze relevant information with accuracy.

Hands-on experience collecting, organizing, and validating data through portfolio projects. Proficient in Excel, Google Sheets, SQL, and MySQL for preparing clean, accurate datasets for analysis and reporting. Strong attention to detail and data quality.